Overview

Dataset statistics

Number of variables141
Number of observations549487
Missing cells8418475
Missing cells (%)10.9%
Duplicate rows13551
Duplicate rows (%)2.5%
Total size in memory591.1 MiB
Average record size in memory1.1 KiB

Variable types

NUM80
CAT47
BOOL11
UNSUPPORTED3

Warnings

NU_ANO has constant value "549487" Constant
TP_SEMESTRE has constant value "549487" Constant
ID_STATUS has constant value "549487" Constant
AMOSTRA has constant value "549487" Constant
TP_INSCRICAO has constant value "549487" Constant
NU_ITEM_OFG has constant value "549487" Constant
NU_ITEM_OFG_Z has constant value "549487" Constant
NU_ITEM_OFG_X has constant value "549487" Constant
NU_ITEM_OFG_N has constant value "549487" Constant
NU_ITEM_OCE has constant value "549487" Constant
NU_ITEM_OCE_N has constant value "549487" Constant
DS_VT_GAB_OFG_ORIG has constant value "549487" Constant
DS_VT_GAB_OFG_FIN has constant value "549487" Constant
Dataset has 13551 (2.5%) duplicate rows Duplicates
DS_VT_ESC_OFG has a high cardinality: 74807 distinct values High cardinality
DS_VT_ESC_OCE has a high cardinality: 446023 distinct values High cardinality
DS_VT_ACE_OCE has a high cardinality: 403102 distinct values High cardinality
DS_VT_ESC_OFG has 101237 (18.4%) missing values Missing
DS_VT_ACE_OFG has 100328 (18.3%) missing values Missing
DS_VT_ESC_OCE has 101237 (18.4%) missing values Missing
DS_VT_ACE_OCE has 100328 (18.3%) missing values Missing
NT_GER has 101242 (18.4%) missing values Missing
NT_FG has 101237 (18.4%) missing values Missing
NT_OBJ_FG has 101237 (18.4%) missing values Missing
NT_DIS_FG has 101237 (18.4%) missing values Missing
NT_FG_D1 has 101237 (18.4%) missing values Missing
NT_FG_D1_PT has 101237 (18.4%) missing values Missing
NT_FG_D1_CT has 101237 (18.4%) missing values Missing
NT_FG_D2 has 101237 (18.4%) missing values Missing
NT_FG_D2_PT has 101237 (18.4%) missing values Missing
NT_FG_D2_CT has 101237 (18.4%) missing values Missing
NT_CE has 101242 (18.4%) missing values Missing
NT_OBJ_CE has 101237 (18.4%) missing values Missing
NT_DIS_CE has 101237 (18.4%) missing values Missing
NT_CE_D1 has 101237 (18.4%) missing values Missing
NT_CE_D2 has 101237 (18.4%) missing values Missing
NT_CE_D3 has 101237 (18.4%) missing values Missing
CO_RS_I1 has 101131 (18.4%) missing values Missing
CO_RS_I2 has 101131 (18.4%) missing values Missing
CO_RS_I3 has 101131 (18.4%) missing values Missing
CO_RS_I4 has 101131 (18.4%) missing values Missing
CO_RS_I5 has 101131 (18.4%) missing values Missing
CO_RS_I6 has 101131 (18.4%) missing values Missing
CO_RS_I7 has 101131 (18.4%) missing values Missing
CO_RS_I8 has 101131 (18.4%) missing values Missing
CO_RS_I9 has 101131 (18.4%) missing values Missing
QE_I01 has 80388 (14.6%) missing values Missing
QE_I02 has 80389 (14.6%) missing values Missing
QE_I03 has 80389 (14.6%) missing values Missing
QE_I04 has 80389 (14.6%) missing values Missing
QE_I05 has 80389 (14.6%) missing values Missing
QE_I06 has 80392 (14.6%) missing values Missing
QE_I07 has 80390 (14.6%) missing values Missing
QE_I08 has 80392 (14.6%) missing values Missing
QE_I09 has 80393 (14.6%) missing values Missing
QE_I10 has 80397 (14.6%) missing values Missing
QE_I11 has 80393 (14.6%) missing values Missing
QE_I12 has 80392 (14.6%) missing values Missing
QE_I13 has 80532 (14.7%) missing values Missing
QE_I14 has 80532 (14.7%) missing values Missing
QE_I15 has 80533 (14.7%) missing values Missing
QE_I16 has 80551 (14.7%) missing values Missing
QE_I17 has 80533 (14.7%) missing values Missing
QE_I18 has 80532 (14.7%) missing values Missing
QE_I19 has 80533 (14.7%) missing values Missing
QE_I20 has 80532 (14.7%) missing values Missing
QE_I21 has 80534 (14.7%) missing values Missing
QE_I22 has 80532 (14.7%) missing values Missing
QE_I23 has 80533 (14.7%) missing values Missing
QE_I24 has 80695 (14.7%) missing values Missing
QE_I25 has 80695 (14.7%) missing values Missing
QE_I26 has 80695 (14.7%) missing values Missing
QE_I27 has 80698 (14.7%) missing values Missing
QE_I28 has 80697 (14.7%) missing values Missing
QE_I29 has 80697 (14.7%) missing values Missing
QE_I30 has 80699 (14.7%) missing values Missing
QE_I31 has 80698 (14.7%) missing values Missing
QE_I32 has 80699 (14.7%) missing values Missing
QE_I33 has 80699 (14.7%) missing values Missing
QE_I34 has 80698 (14.7%) missing values Missing
QE_I35 has 80698 (14.7%) missing values Missing
QE_I36 has 80759 (14.7%) missing values Missing
QE_I37 has 80759 (14.7%) missing values Missing
QE_I38 has 80759 (14.7%) missing values Missing
QE_I39 has 80760 (14.7%) missing values Missing
QE_I40 has 80759 (14.7%) missing values Missing
QE_I41 has 80759 (14.7%) missing values Missing
QE_I42 has 80760 (14.7%) missing values Missing
QE_I43 has 80759 (14.7%) missing values Missing
QE_I44 has 80760 (14.7%) missing values Missing
QE_I45 has 80759 (14.7%) missing values Missing
QE_I46 has 80759 (14.7%) missing values Missing
QE_I47 has 80800 (14.7%) missing values Missing
QE_I48 has 80800 (14.7%) missing values Missing
QE_I49 has 80800 (14.7%) missing values Missing
QE_I50 has 80800 (14.7%) missing values Missing
QE_I51 has 80800 (14.7%) missing values Missing
QE_I52 has 80801 (14.7%) missing values Missing
QE_I53 has 80800 (14.7%) missing values Missing
QE_I54 has 80800 (14.7%) missing values Missing
QE_I55 has 80800 (14.7%) missing values Missing
QE_I56 has 80801 (14.7%) missing values Missing
QE_I57 has 80801 (14.7%) missing values Missing
QE_I58 has 80841 (14.7%) missing values Missing
QE_I59 has 80842 (14.7%) missing values Missing
QE_I60 has 80842 (14.7%) missing values Missing
QE_I61 has 80842 (14.7%) missing values Missing
QE_I62 has 80845 (14.7%) missing values Missing
QE_I63 has 80843 (14.7%) missing values Missing
QE_I64 has 80844 (14.7%) missing values Missing
QE_I65 has 80842 (14.7%) missing values Missing
QE_I66 has 80843 (14.7%) missing values Missing
QE_I67 has 80844 (14.7%) missing values Missing
QE_I68 has 80843 (14.7%) missing values Missing
CO_IES is an unsupported type, check if it needs cleaning or further analysis Unsupported
CO_CURSO is an unsupported type, check if it needs cleaning or further analysis Unsupported
CO_MUNIC_CURSO is an unsupported type, check if it needs cleaning or further analysis Unsupported
NT_DIS_FG has 31670 (5.8%) zeros Zeros
NT_FG_D1 has 40345 (7.3%) zeros Zeros
NT_FG_D1_PT has 40588 (7.4%) zeros Zeros
NT_FG_D1_CT has 43946 (8.0%) zeros Zeros
NT_FG_D2 has 44295 (8.1%) zeros Zeros
NT_FG_D2_PT has 45289 (8.2%) zeros Zeros
NT_FG_D2_CT has 51590 (9.4%) zeros Zeros
NT_DIS_CE has 57488 (10.5%) zeros Zeros
NT_CE_D1 has 107508 (19.6%) zeros Zeros
NT_CE_D2 has 148297 (27.0%) zeros Zeros
NT_CE_D3 has 155202 (28.2%) zeros Zeros

Reproduction

Analysis started2020-09-29 21:55:40.378999
Analysis finished2020-09-29 21:56:13.001053
Duration32.62 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

NU_ANO
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
2015
549487 
ValueCountFrequency (%) 
2015549487100.0%
 
2020-09-29T18:56:13.269055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_IES
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.2 MiB

CO_CATEGAD
Real number (ℝ≥0)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8862.423497
Minimum93
Maximum10009
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:13.524117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile118
Q110005
median10005
Q310008
95-th percentile10008
Maximum10009
Range9916
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3162.05472
Coefficient of variation (CV)0.3567934573
Kurtosis3.779239908
Mean8862.423497
Median Absolute Deviation (MAD)3
Skewness-2.404000213
Sum4869786500
Variance9998590.05
MonotocityNot monotonic
2020-09-29T18:56:13.738735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
1000522609741.1%
 
1000818595233.8%
 
10002379066.9%
 
121328246.0%
 
118195573.6%
 
10001155702.8%
 
1000394661.7%
 
1000675891.4%
 
11561211.1%
 
9343750.8%
 
Other values (3)40300.7%
 
ValueCountFrequency (%) 
9343750.8%
 
11561211.1%
 
1166590.1%
 
118195573.6%
 
121328246.0%
 
ValueCountFrequency (%) 
1000914120.3%
 
1000818595233.8%
 
1000719590.4%
 
1000675891.4%
 
1000522609741.1%
 

CO_ORGACAD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10024.36337
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:13.938917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10022
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.400809645
Coefficient of variation (CV)0.0003392544264
Kurtosis-1.814098417
Mean10024.36337
Median Absolute Deviation (MAD)2
Skewness0.03859563076
Sum5508257354
Variance11.56550624
MonotocityNot monotonic
2020-09-29T18:56:14.138954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002824908545.3%
 
1002219444735.4%
 
1002010306718.8%
 
1002627040.5%
 
10019184< 0.1%
 
ValueCountFrequency (%) 
10019184< 0.1%
 
1002010306718.8%
 
1002219444735.4%
 
1002627040.5%
 
1002824908545.3%
 
ValueCountFrequency (%) 
1002824908545.3%
 
1002627040.5%
 
1002219444735.4%
 
1002010306718.8%
 
10019184< 0.1%
 

CO_GRUPO
Real number (ℝ≥0)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.29475857
Minimum1
Maximum804
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:14.339601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q385
95-th percentile803
Maximum804
Range803
Interquartile range (IQR)84

Descriptive statistics

Standard deviation178.3930757
Coefficient of variation (CV)2.574409369
Kurtosis12.40124135
Mean69.29475857
Median Absolute Deviation (MAD)1
Skewness3.707120723
Sum38076569
Variance31824.08946
MonotocityNot monotonic
2020-09-29T18:56:14.671757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
115199727.7%
 
212492422.7%
 
226548311.9%
 
86397477.2%
 
18265444.8%
 
804186643.4%
 
94139992.5%
 
85131012.4%
 
803107872.0%
 
1395701.7%
 
Other values (16)7467113.6%
 
ValueCountFrequency (%) 
115199727.7%
 
212492422.7%
 
1395701.7%
 
18265444.8%
 
226548311.9%
 
ValueCountFrequency (%) 
804186643.4%
 
803107872.0%
 
10653501.0%
 
10524680.4%
 
10426140.5%
 

CO_CURSO
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.2 MiB

CO_MODALIDADE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
458194 
0
91293 
ValueCountFrequency (%) 
145819483.4%
 
09129316.6%
 

CO_MUNIC_CURSO
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.2 MiB

CO_UF_CURSO
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.32940725
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:14.887960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q131
median35
Q341
95-th percentile52
Maximum53
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.970027445
Coefficient of variation (CV)0.2538969132
Kurtosis0.2303405069
Mean35.32940725
Median Absolute Deviation (MAD)6
Skewness-0.1999224683
Sum19413050
Variance80.46139236
MonotocityNot monotonic
2020-09-29T18:56:15.110838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3514284726.0%
 
416485811.8%
 
31506669.2%
 
33425947.8%
 
43335636.1%
 
42305165.6%
 
50254074.6%
 
26210863.8%
 
29185433.4%
 
52155682.8%
 
Other values (17)10383918.9%
 
ValueCountFrequency (%) 
1131310.6%
 
1211550.2%
 
13101231.8%
 
149740.2%
 
1564981.2%
 
ValueCountFrequency (%) 
53136112.5%
 
52155682.8%
 
5181631.5%
 
50254074.6%
 
43335636.1%
 

CO_REGIAO_CURSO
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.205386115
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:15.311478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001830709
Coefficient of variation (CV)0.3125460312
Kurtosis-0.2571641197
Mean3.205386115
Median Absolute Deviation (MAD)1
Skewness-0.02665098307
Sum1761318
Variance1.003664769
MonotocityNot monotonic
2020-09-29T18:56:15.542743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
324280744.2%
 
412893723.5%
 
28841016.1%
 
56274911.4%
 
1265844.8%
 
ValueCountFrequency (%) 
1265844.8%
 
28841016.1%
 
324280744.2%
 
412893723.5%
 
56274911.4%
 
ValueCountFrequency (%) 
56274911.4%
 
412893723.5%
 
324280744.2%
 
28841016.1%
 
1265844.8%
 

NU_IDADE
Real number (ℝ≥0)

Distinct71
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.71190947
Minimum16
Maximum88
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:15.774472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile21
Q123
median26
Q332
95-th percentile46
Maximum88
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.99057937
Coefficient of variation (CV)0.2783019143
Kurtosis2.40255441
Mean28.71190947
Median Absolute Deviation (MAD)4
Skewness1.520661532
Sum15776821
Variance63.84935866
MonotocityNot monotonic
2020-09-29T18:56:16.024662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
226310911.5%
 
235607110.2%
 
24465068.5%
 
21393027.2%
 
25369636.7%
 
26321575.9%
 
27277575.1%
 
28240864.4%
 
29212013.9%
 
30190303.5%
 
Other values (61)18330533.4%
 
ValueCountFrequency (%) 
161< 0.1%
 
177< 0.1%
 
184030.1%
 
1940730.7%
 
20106691.9%
 
ValueCountFrequency (%) 
881< 0.1%
 
861< 0.1%
 
841< 0.1%
 
832< 0.1%
 
822< 0.1%
 

TP_SEXO
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
F
319013 
M
230449 
N
 
25
ValueCountFrequency (%) 
F31901358.1%
 
M23044941.9%
 
N25< 0.1%
 
2020-09-29T18:56:16.259806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ANO_FIM_2G
Real number (ℝ≥0)

Distinct62
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.55043
Minimum1949
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:16.475917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1949
5-th percentile1993
Q12003
median2008
Q32010
95-th percentile2011
Maximum2015
Range66
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.412012429
Coefficient of variation (CV)0.003197133482
Kurtosis4.203821572
Mean2005.55043
Median Absolute Deviation (MAD)3
Skewness-1.843060803
Sum1102023889
Variance41.11390339
MonotocityNot monotonic
2020-09-29T18:56:16.745703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20109752717.7%
 
20096172611.2%
 
20115675910.3%
 
2008457128.3%
 
2007351336.4%
 
2006297865.4%
 
2005257044.7%
 
2004218714.0%
 
2003199043.6%
 
2002175653.2%
 
Other values (52)13780025.1%
 
ValueCountFrequency (%) 
19491< 0.1%
 
19531< 0.1%
 
19541< 0.1%
 
19571< 0.1%
 
19584< 0.1%
 
ValueCountFrequency (%) 
201527< 0.1%
 
20146590.1%
 
2013112782.1%
 
2012144062.6%
 
20115675910.3%
 

ANO_IN_GRAD
Real number (ℝ≥0)

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.489684
Minimum1972
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:17.006645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1972
5-th percentile2008
Q12011
median2012
Q32012
95-th percentile2014
Maximum2015
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.907913808
Coefficient of variation (CV)0.0009485078759
Kurtosis11.28245687
Mean2011.489684
Median Absolute Deviation (MAD)1
Skewness-2.005960956
Sum1105287432
Variance3.640135097
MonotocityNot monotonic
2020-09-29T18:56:17.231622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
201217603932.0%
 
201114310726.0%
 
20146559711.9%
 
20135521410.0%
 
2010489498.9%
 
2009223184.1%
 
2008121782.2%
 
200771991.3%
 
201570301.3%
 
200641260.8%
 
Other values (29)77301.4%
 
ValueCountFrequency (%) 
19721< 0.1%
 
19771< 0.1%
 
19783< 0.1%
 
19791< 0.1%
 
19802< 0.1%
 
ValueCountFrequency (%) 
201570301.3%
 
20146559711.9%
 
20135521410.0%
 
201217603932.0%
 
201114310726.0%
 

TP_SEMESTRE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
2
549487 
ValueCountFrequency (%) 
2549487100.0%
 
2020-09-29T18:56:17.447758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

IN_MATUT
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
439348 
1
110139 
ValueCountFrequency (%) 
043934880.0%
 
111013920.0%
 

IN_VESPER
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
512127 
1
 
37360
ValueCountFrequency (%) 
051212793.2%
 
1373606.8%
 

IN_NOTURNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
431501 
0
117986 
ValueCountFrequency (%) 
143150178.5%
 
011798621.5%
 

ID_STATUS
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
549487 
ValueCountFrequency (%) 
1549487100.0%
 

AMOSTRA
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
1
549487 
ValueCountFrequency (%) 
1549487100.0%
 

TP_INSCRICAO
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
549487 
ValueCountFrequency (%) 
0549487100.0%
 

NU_ITEM_OFG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
8
549487 
ValueCountFrequency (%) 
8549487100.0%
 
2020-09-29T18:56:17.653183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OFG_Z
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
549487 
ValueCountFrequency (%) 
0549487100.0%
 

NU_ITEM_OFG_X
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
549487 
ValueCountFrequency (%) 
0549487100.0%
 

NU_ITEM_OFG_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
549487 
ValueCountFrequency (%) 
0549487100.0%
 

NU_ITEM_OCE
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
27
549487 
ValueCountFrequency (%) 
27549487100.0%
 
2020-09-29T18:56:17.864392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_Z
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
272352 
1
232815 
2
44320 
ValueCountFrequency (%) 
027235249.6%
 
123281542.4%
 
2443208.1%
 
2020-09-29T18:56:18.187435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

NU_ITEM_OCE_X
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.540618795
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:18.381401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.597621579
Coefficient of variation (CV)0.4512266558
Kurtosis-0.7960881269
Mean3.540618795
Median Absolute Deviation (MAD)1
Skewness0.5805174881
Sum1945524
Variance2.552394709
MonotocityNot monotonic
2020-09-29T18:56:18.573530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
217225531.3%
 
313123223.9%
 
47474013.6%
 
66856812.5%
 
56253611.4%
 
7240194.4%
 
1161372.9%
 
ValueCountFrequency (%) 
1161372.9%
 
217225531.3%
 
313123223.9%
 
47474013.6%
 
56253611.4%
 
ValueCountFrequency (%) 
7240194.4%
 
66856812.5%
 
56253611.4%
 
47474013.6%
 
313123223.9%
 

NU_ITEM_OCE_N
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
0
549487 
ValueCountFrequency (%) 
0549487100.0%
 

DS_VT_GAB_OFG_ORIG
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
ACABDDCE
549487 
ValueCountFrequency (%) 
ACABDDCE549487100.0%
 
2020-09-29T18:56:18.781714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OFG_FIN
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
ACABDDCE
549487 
ValueCountFrequency (%) 
ACABDDCE549487100.0%
 
2020-09-29T18:56:19.018355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OCE_ORIG
Categorical

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
ADABCBACDAEECDABEEECDDCDBEA
151997 
AABEDEDEECBADBBCDZCABBCAEDD
124924 
AEDABEEBCACEDDBECCCCDAECBAZ
65483 
BAZDDDECDACBZCBDDBAEABEEBDE
39747 
DDAACDEBDCEAABDECCCDADEBZCE
26544 
Other values (21)
140792 
ValueCountFrequency (%) 
ADABCBACDAEECDABEEECDDCDBEA15199727.7%
 
AABEDEDEECBADBBCDZCABBCAEDD12492422.7%
 
AEDABEEBCACEDDBECCCCDAECBAZ6548311.9%
 
BAZDDDECDACBZCBDDBAEABEEBDE397477.2%
 
DDAACDEBDCEAABDECCCDADEBZCE265444.8%
 
DBDCCEDBDCCEEBEEBEAACAEDABC186643.4%
 
EEEABECCAAEAECBDDDADBCBCDAA139992.5%
 
DACBBCECDDEDEABBEACEECACABC131012.4%
 
CBDDACBECDDBBECBADCECBCACDA107872.0%
 
CABBDADCDBEEECCCDEBCBDACDBB95701.7%
 
Other values (16)7467113.6%
 
2020-09-29T18:56:19.251971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_GAB_OCE_FIN
Categorical

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.2 MiB
ADABCBACDAXECDABXEECDDCDBEA
151997 
AABEDEDEXXBADBBCDZXABBCAEDD
124924 
AEDABEEXXACEDDBECXCXXXECBAZ
65483 
BAZXDDECDACXZCBDDBXEABXEBDE
39747 
XDAXCXEBXCEAABDXCCCDADEBZCE
26544 
Other values (21)
140792 
ValueCountFrequency (%) 
ADABCBACDAXECDABXEECDDCDBEA15199727.7%
 
AABEDEDEXXBADBBCDZXABBCAEDD12492422.7%
 
AEDABEEXXACEDDBECXCXXXECBAZ6548311.9%
 
BAZXDDECDACXZCBDDBXEABXEBDE397477.2%
 
XDAXCXEBXCEAABDXCCCDADEBZCE265444.8%
 
DBDCCEDBDCCEEXEEBEXAXAEXABX186643.4%
 
EEEAXECCXXEAEXBDDDADXXBXDAA139992.5%
 
DACBBCEXDDEDEABBEACEEXACABC131012.4%
 
CBDDAXBECDDBBECBADCECBCACDA107872.0%
 
XAXBDADCDXEEECCCDEBCBDXCDBB95701.7%
 
Other values (16)7467113.6%
 
2020-09-29T18:56:19.499077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DS_VT_ESC_OFG
Categorical

HIGH CARDINALITY
MISSING

Distinct74807
Distinct (%)16.7%
Missing101237
Missing (%)18.4%
Memory size4.2 MiB
ACABDDCE
 
7752
ACADDDCE
 
7034
BCADDDCE
 
5729
BCABDDCE
 
4441
ACADDDCD
 
2928
Other values (74802)
420366 
ValueCountFrequency (%) 
ACABDDCE77521.4%
 
ACADDDCE70341.3%
 
BCADDDCE57291.0%
 
BCABDDCE44410.8%
 
ACADDDCD29280.5%
 
BCADDDCD26900.5%
 
ACABDDCD26240.5%
 
CCADDDCE23580.4%
 
CCABDDCE18870.3%
 
BCABDDCD16540.3%
 
Other values (74797)40915374.5%
 
(Missing)10123718.4%
 
2020-09-29T18:56:19.970173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique43170 ?
Unique (%)9.6%

DS_VT_ACE_OFG
Real number (ℝ≥0)

MISSING

Distinct256
Distinct (%)0.1%
Missing100328
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean4692333.624
Minimum0
Maximum11111111
Zeros5456
Zeros (%)1.0%
Memory size4.2 MiB
2020-09-29T18:56:20.229999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1001
Q1110001
median1101111
Q310101111
95-th percentile11110111
Maximum11111111
Range11111111
Interquartile range (IQR)9991110

Descriptive statistics

Standard deviation4954122.391
Coefficient of variation (CV)1.05579074
Kurtosis-1.835030207
Mean4692333.624
Median Absolute Deviation (MAD)1100010
Skewness0.3484599243
Sum2.107603878e+12
Variance2.454332866e+13
MonotocityNot monotonic
2020-09-29T18:56:20.470589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1101111124232.3%
 
1101101100221.8%
 
110110094861.7%
 
1110111192231.7%
 
10110186481.6%
 
10110086291.6%
 
110111085441.6%
 
1111111177521.4%
 
111111176921.4%
 
110167431.2%
 
Other values (246)35999765.5%
 
(Missing)10032818.3%
 
ValueCountFrequency (%) 
054561.0%
 
120100.4%
 
108820.2%
 
115260.1%
 
10036100.7%
 
ValueCountFrequency (%) 
1111111177521.4%
 
1111111031510.6%
 
1111110144960.8%
 
1111110028820.5%
 
1111101112290.2%
 

DS_VT_ESC_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct446023
Distinct (%)99.5%
Missing101237
Missing (%)18.4%
Memory size4.2 MiB
...........................
 
1136
AAAAAAAAAAAAAAAAAAAAAAAAAAA
 
174
CCCCCCCCCCCCCCCCCCCCCCCCCCC
 
170
DDDDDDDDDDDDDDDDDDDDDDDDDDD
 
129
BBBBBBBBBBBBBBBBBBBBBBBBBBB
 
77
Other values (446018)
446564 
ValueCountFrequency (%) 
...........................11360.2%
 
AAAAAAAAAAAAAAAAAAAAAAAAAAA174< 0.1%
 
CCCCCCCCCCCCCCCCCCCCCCCCCCC170< 0.1%
 
DDDDDDDDDDDDDDDDDDDDDDDDDDD129< 0.1%
 
BBBBBBBBBBBBBBBBBBBBBBBBBBB77< 0.1%
 
ABCDEEDCBABCDEDCBAABCDEDCBA43< 0.1%
 
EEEEEEEEEEEEEEEEEEEEEEEEEEE40< 0.1%
 
***************************23< 0.1%
 
ABCDEABCDEDCBABCDEABCDEDCBA23< 0.1%
 
DEABCDEABCDEABCDEABCDEABCDE19< 0.1%
 
Other values (446013)44641681.2%
 
(Missing)10123718.4%
 
2020-09-29T18:56:22.598516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique445684 ?
Unique (%)99.4%

DS_VT_ACE_OCE
Categorical

HIGH CARDINALITY
MISSING

Distinct403102
Distinct (%)89.7%
Missing100328
Missing (%)18.3%
Memory size4.2 MiB
000000009900000008900000000
 
520
000000000090000090000000000
 
517
000000099000000009099900008
 
238
000009000000000000000000000
 
165
900909009000000900000000800
 
156
Other values (403097)
447563 
ValueCountFrequency (%) 
0000000099000000089000000005200.1%
 
0000000000900000900000000005170.1%
 
000000099000000009099900008238< 0.1%
 
000009000000000000000000000165< 0.1%
 
900909009000000900000000800156< 0.1%
 
008900000009800000900090000112< 0.1%
 
90000009000000000000009009098< 0.1%
 
00000000990000010890001000091< 0.1%
 
11000000990100000891000100085< 0.1%
 
00000090090800009000090090075< 0.1%
 
Other values (403092)44710281.4%
 
(Missing)10032818.3%
 
2020-09-29T18:56:24.517986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique374443 ?
Unique (%)83.4%

TP_PRES
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean493.8847543
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:24.739832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)0

Descriptive statistics

Standard deviation128.8628932
Coefficient of variation (CV)0.2609169286
Kurtosis0.684150117
Mean493.8847543
Median Absolute Deviation (MAD)0
Skewness-1.619072744
Sum271383252
Variance16605.64524
MonotocityNot monotonic
2020-09-29T18:56:24.924864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55544705681.4%
 
22210015618.2%
 
4449750.2%
 
3348120.1%
 
5563160.1%
 
888172< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
3348120.1%
 
4449750.2%
 
55544705681.4%
 
5563160.1%
 
ValueCountFrequency (%) 
888172< 0.1%
 
5563160.1%
 
55544705681.4%
 
4449750.2%
 
3348120.1%
 

TP_PR_GER
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.7734341
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:25.109466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.8764109
Coefficient of variation (CV)0.2624967348
Kurtosis0.7636571407
Mean494.7734341
Median Absolute Deviation (MAD)0
Skewness-1.551073598
Sum271871570
Variance16867.88211
MonotocityNot monotonic
2020-09-29T18:56:25.303567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55544732881.4%
 
22210015618.2%
 
8899750.2%
 
3335630.1%
 
5562930.1%
 
888172< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
3335630.1%
 
55544732881.4%
 
5562930.1%
 
888172< 0.1%
 
ValueCountFrequency (%) 
8899750.2%
 
888172< 0.1%
 
5562930.1%
 
55544732881.4%
 
3335630.1%
 

TP_PR_OB_FG
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.5924289
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:25.610762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.947021
Coefficient of variation (CV)0.2627355645
Kurtosis0.7487785355
Mean494.5924289
Median Absolute Deviation (MAD)0
Skewness-1.546022025
Sum271772110
Variance16886.22827
MonotocityNot monotonic
2020-09-29T18:56:25.826875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55544688481.3%
 
22210015618.2%
 
33310110.2%
 
8899750.2%
 
5562890.1%
 
888172< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
33310110.2%
 
55544688481.3%
 
5562890.1%
 
888172< 0.1%
 
ValueCountFrequency (%) 
8899750.2%
 
888172< 0.1%
 
5562890.1%
 
55544688481.3%
 
33310110.2%
 

TP_PR_DI_FG
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.5655621
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:26.023329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation133.9629683
Coefficient of variation (CV)0.2776057365
Kurtosis-0.06835798045
Mean482.5655621
Median Absolute Deviation (MAD)0
Skewness-1.242615839
Sum265163503
Variance17946.07687
MonotocityNot monotonic
2020-09-29T18:56:26.212922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55541720875.9%
 
22210015618.2%
 
333307245.6%
 
8899750.2%
 
5562890.1%
 
888135< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
333307245.6%
 
55541720875.9%
 
5562890.1%
 
888135< 0.1%
 
ValueCountFrequency (%) 
8899750.2%
 
888135< 0.1%
 
5562890.1%
 
55541720875.9%
 
333307245.6%
 

TP_PR_OB_CE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.468093
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:26.413416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1555
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.8382979
Coefficient of variation (CV)0.2625817514
Kurtosis0.7373774772
Mean494.468093
Median Absolute Deviation (MAD)0
Skewness-1.55360366
Sum271703789
Variance16857.9836
MonotocityNot monotonic
2020-09-29T18:56:26.614562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55544715881.4%
 
22210015618.2%
 
33311360.2%
 
8899750.2%
 
88851< 0.1%
 
55611< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
33311360.2%
 
55544715881.4%
 
55611< 0.1%
 
88851< 0.1%
 
ValueCountFrequency (%) 
8899750.2%
 
88851< 0.1%
 
55611< 0.1%
 
55544715881.4%
 
33311360.2%
 

TP_PR_DI_CE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.5479183
Minimum222
Maximum889
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:26.846327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum889
Range667
Interquartile range (IQR)222

Descriptive statistics

Standard deviation135.5069584
Coefficient of variation (CV)0.2843511705
Kurtosis-0.3758415373
Mean476.5479183
Median Absolute Deviation (MAD)0
Skewness-1.109451404
Sum261856886
Variance18362.13577
MonotocityNot monotonic
2020-09-29T18:56:27.069592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
55540266273.3%
 
22210015618.2%
 
333455658.3%
 
8899750.2%
 
888100< 0.1%
 
55629< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
333455658.3%
 
55540266273.3%
 
55629< 0.1%
 
888100< 0.1%
 
ValueCountFrequency (%) 
8899750.2%
 
888100< 0.1%
 
55629< 0.1%
 
55540266273.3%
 
333455658.3%
 

TP_SFG_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean478.2395343
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:27.281799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation133.8979976
Coefficient of variation (CV)0.2799810304
Kurtosis-0.3534600248
Mean478.2395343
Median Absolute Deviation (MAD)0
Skewness-1.222877351
Sum262786407
Variance17928.67377
MonotocityNot monotonic
2020-09-29T18:56:27.525505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55540893474.4%
 
22210015618.2%
 
333383647.0%
 
33613780.3%
 
5562840.1%
 
335239< 0.1%
 
888132< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
333383647.0%
 
335239< 0.1%
 
33613780.3%
 
55540893474.4%
 
ValueCountFrequency (%) 
888132< 0.1%
 
5562840.1%
 
55540893474.4%
 
33613780.3%
 
335239< 0.1%
 

TP_SFG_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.7014888
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:27.762603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation134.2796003
Coefficient of variation (CV)0.2816848771
Kurtosis-0.4303359762
Mean476.7014888
Median Absolute Deviation (MAD)0
Skewness-1.188354516
Sum261941271
Variance18031.01105
MonotocityNot monotonic
2020-09-29T18:56:27.978784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55540514273.7%
 
22210015618.2%
 
333424167.7%
 
3369080.2%
 
3354550.1%
 
5562810.1%
 
888129< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
333424167.7%
 
3354550.1%
 
3369080.2%
 
55540514273.7%
 
ValueCountFrequency (%) 
888129< 0.1%
 
5562810.1%
 
55540514273.7%
 
3369080.2%
 
3354550.1%
 

TP_SCE_D1
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.2558259
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:28.222524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation136.4650862
Coefficient of variation (CV)0.2933119342
Kurtosis-0.9060548568
Mean465.2558259
Median Absolute Deviation (MAD)0
Skewness-0.9528540395
Sum255652028
Variance18622.71974
MonotocityNot monotonic
2020-09-29T18:56:28.490537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55537723468.7%
 
22210015618.2%
 
3336859812.5%
 
33631630.6%
 
335272< 0.1%
 
88860< 0.1%
 
5564< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
3336859812.5%
 
335272< 0.1%
 
33631630.6%
 
55537723468.7%
 
ValueCountFrequency (%) 
88860< 0.1%
 
5564< 0.1%
 
55537723468.7%
 
33631630.6%
 
335272< 0.1%
 

TP_SCE_D2
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.9656316
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:28.809032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation137.6724494
Coefficient of variation (CV)0.3025996686
Kurtosis-1.208206964
Mean454.9656316
Median Absolute Deviation (MAD)0
Skewness-0.7576045495
Sum249997700
Variance18953.70331
MonotocityNot monotonic
2020-09-29T18:56:29.091472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55535179164.0%
 
22210015618.2%
 
3339497017.3%
 
33622460.4%
 
335267< 0.1%
 
88855< 0.1%
 
5562< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
3339497017.3%
 
335267< 0.1%
 
33622460.4%
 
55535179164.0%
 
ValueCountFrequency (%) 
88855< 0.1%
 
5562< 0.1%
 
55535179164.0%
 
33622460.4%
 
335267< 0.1%
 

TP_SCE_D3
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456.848879
Minimum222
Maximum888
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:29.404025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile222
Q1333
median555
Q3555
95-th percentile555
Maximum888
Range666
Interquartile range (IQR)222

Descriptive statistics

Standard deviation138.873646
Coefficient of variation (CV)0.3039815843
Kurtosis-1.181565882
Mean456.848879
Median Absolute Deviation (MAD)0
Skewness-0.7438458624
Sum251032520
Variance19285.88956
MonotocityNot monotonic
2020-09-29T18:56:29.695858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
55534801463.3%
 
22210015618.2%
 
3339424417.2%
 
66656601.0%
 
33611680.2%
 
335202< 0.1%
 
88840< 0.1%
 
5563< 0.1%
 
ValueCountFrequency (%) 
22210015618.2%
 
3339424417.2%
 
335202< 0.1%
 
33611680.2%
 
55534801463.3%
 
ValueCountFrequency (%) 
88840< 0.1%
 
66656601.0%
 
5563< 0.1%
 
55534801463.3%
 
33611680.2%
 

NT_GER
Real number (ℝ≥0)

MISSING

Distinct906
Distinct (%)0.2%
Missing101242
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean44.49603788
Minimum0
Maximum95.5
Zeros665
Zeros (%)0.1%
Memory size4.2 MiB
2020-09-29T18:56:30.009122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.9
Q134.4
median43.7
Q354.1
95-th percentile68.7
Maximum95.5
Range95.5
Interquartile range (IQR)19.7

Descriptive statistics

Standard deviation13.97603364
Coefficient of variation (CV)0.3140961377
Kurtosis-0.2597394581
Mean44.49603788
Median Absolute Deviation (MAD)9.8
Skewness0.1695253162
Sum19945126.5
Variance195.3295164
MonotocityNot monotonic
2020-09-29T18:56:30.311943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
36.214660.3%
 
34.914110.3%
 
39.814090.3%
 
41.313930.3%
 
4013670.2%
 
40.713570.2%
 
3313540.2%
 
38.113430.2%
 
42.513310.2%
 
44.613250.2%
 
Other values (896)43448979.1%
 
(Missing)10124218.4%
 
ValueCountFrequency (%) 
06650.1%
 
0.42< 0.1%
 
0.61< 0.1%
 
1.11< 0.1%
 
1.41< 0.1%
 
ValueCountFrequency (%) 
95.51< 0.1%
 
95.41< 0.1%
 
94.41< 0.1%
 
93.41< 0.1%
 
93.12< 0.1%
 

NT_FG
Real number (ℝ≥0)

MISSING

Distinct907
Distinct (%)0.2%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean54.60137356
Minimum0
Maximum99.2
Zeros1226
Zeros (%)0.2%
Memory size4.2 MiB
2020-09-29T18:56:30.566620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.7
Q144.3
median55.4
Q366
95-th percentile80.1
Maximum99.2
Range99.2
Interquartile range (IQR)21.7

Descriptive statistics

Standard deviation16.25157625
Coefficient of variation (CV)0.297640429
Kurtosis0.01656382096
Mean54.60137356
Median Absolute Deviation (MAD)10.8
Skewness-0.3039267592
Sum24475065.7
Variance264.1137307
MonotocityNot monotonic
2020-09-29T18:56:30.964641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3069731.3%
 
22.561951.1%
 
37.561431.1%
 
4543690.8%
 
1543030.8%
 
52.524870.5%
 
7.519530.4%
 
56.818660.3%
 
5817860.3%
 
57.617510.3%
 
Other values (897)41042474.7%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
012260.2%
 
12< 0.1%
 
1.21< 0.1%
 
1.42< 0.1%
 
1.62< 0.1%
 
ValueCountFrequency (%) 
99.26< 0.1%
 
999< 0.1%
 
98.85< 0.1%
 
98.611< 0.1%
 
98.411< 0.1%
 

NT_OBJ_FG
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean52.67682655
Minimum0
Maximum100
Zeros4547
Zeros (%)0.8%
Memory size4.2 MiB
2020-09-29T18:56:31.202657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q137.5
median50
Q362.5
95-th percentile87.5
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.70174728
Coefficient of variation (CV)0.3929953385
Kurtosis-0.4047649453
Mean52.67682655
Median Absolute Deviation (MAD)12.5
Skewness-0.04935472503
Sum23612387.5
Variance428.5623404
MonotocityNot monotonic
2020-09-29T18:56:31.419658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
5010148618.5%
 
62.59328617.0%
 
37.58191614.9%
 
756398111.6%
 
25470878.6%
 
87.5304335.5%
 
12.5177623.2%
 
10077521.4%
 
045470.8%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
045470.8%
 
12.5177623.2%
 
25470878.6%
 
37.58191614.9%
 
5010148618.5%
 
ValueCountFrequency (%) 
10077521.4%
 
87.5304335.5%
 
756398111.6%
 
62.59328617.0%
 
5010148618.5%
 

NT_DIS_FG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct197
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean57.48819409
Minimum0
Maximum99
Zeros31670
Zeros (%)5.8%
Memory size4.2 MiB
2020-09-29T18:56:31.650429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.5
median62.5
Q371
95-th percentile82.5
Maximum99
Range99
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation21.29410029
Coefficient of variation (CV)0.3704082312
Kurtosis1.465285006
Mean57.48819409
Median Absolute Deviation (MAD)10
Skewness-1.332758163
Sum25769083
Variance453.4387071
MonotocityNot monotonic
2020-09-29T18:56:31.920483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0316705.8%
 
6776031.4%
 
6673241.3%
 
7073131.3%
 
7171911.3%
 
6370291.3%
 
6269851.3%
 
6568371.2%
 
6967451.2%
 
67.567091.2%
 
Other values (187)35284464.2%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0316705.8%
 
0.53< 0.1%
 
1.52< 0.1%
 
2.529< 0.1%
 
394< 0.1%
 
ValueCountFrequency (%) 
998< 0.1%
 
98.512< 0.1%
 
9853< 0.1%
 
97.550< 0.1%
 
9799< 0.1%
 

NT_FG_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct101
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean59.86002454
Minimum0
Maximum100
Zeros40345
Zeros (%)7.3%
Memory size4.2 MiB
2020-09-29T18:56:32.188900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153
median66
Q376
95-th percentile88
Maximum100
Range100
Interquartile range (IQR)23

Descriptive statistics

Standard deviation24.07633404
Coefficient of variation (CV)0.4022105608
Kurtosis1.034034634
Mean59.86002454
Median Absolute Deviation (MAD)11
Skewness-1.257125866
Sum26832256
Variance579.6698607
MonotocityNot monotonic
2020-09-29T18:56:32.456423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0403457.3%
 
71234684.3%
 
79203473.7%
 
63188443.4%
 
69169973.1%
 
61158072.9%
 
72136402.5%
 
77132342.4%
 
80123542.2%
 
70108052.0%
 
Other values (91)26240947.8%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0403457.3%
 
12< 0.1%
 
22< 0.1%
 
38< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
10072< 0.1%
 
99152< 0.1%
 
9813730.2%
 
9711040.2%
 
9626060.5%
 

NT_FG_D1_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean62.21757948
Minimum0
Maximum100
Zeros40588
Zeros (%)7.4%
Memory size4.2 MiB
2020-09-29T18:56:32.706159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median65
Q375
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22.93610201
Coefficient of variation (CV)0.3686434317
Kurtosis2.203265043
Mean62.21757948
Median Absolute Deviation (MAD)10
Skewness-1.651234318
Sum27889030
Variance526.0647753
MonotocityNot monotonic
2020-09-29T18:56:32.953205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
759097516.6%
 
656988612.7%
 
80511059.3%
 
70420657.7%
 
0405887.4%
 
55362076.6%
 
60342676.2%
 
50238214.3%
 
90195583.6%
 
85177493.2%
 
Other values (11)220294.0%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0405887.4%
 
55< 0.1%
 
106< 0.1%
 
1526< 0.1%
 
2033< 0.1%
 
ValueCountFrequency (%) 
1006380.1%
 
9517300.3%
 
90195583.6%
 
85177493.2%
 
80511059.3%
 

NT_FG_D1_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean59.27194646
Minimum0
Maximum100
Zeros43946
Zeros (%)8.0%
Memory size4.2 MiB
2020-09-29T18:56:33.169327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median60
Q380
95-th percentile90
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.73024773
Coefficient of variation (CV)0.4341049901
Kurtosis0.3952748837
Mean59.27194646
Median Absolute Deviation (MAD)10
Skewness-0.992068578
Sum26568650
Variance662.0456481
MonotocityNot monotonic
2020-09-29T18:56:33.391940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
709658517.6%
 
608420015.3%
 
808100114.7%
 
50497339.1%
 
0439468.0%
 
90303725.5%
 
30211593.9%
 
40171863.1%
 
100156492.8%
 
2084191.5%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0439468.0%
 
2084191.5%
 
30211593.9%
 
40171863.1%
 
50497339.1%
 
ValueCountFrequency (%) 
100156492.8%
 
90303725.5%
 
808100114.7%
 
709658517.6%
 
608420015.3%
 

NT_FG_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct101
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean55.11636364
Minimum0
Maximum100
Zeros44295
Zeros (%)8.1%
Memory size4.2 MiB
2020-09-29T18:56:33.623728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median61
Q374
95-th percentile82
Maximum100
Range100
Interquartile range (IQR)29

Descriptive statistics

Standard deviation24.36066288
Coefficient of variation (CV)0.4419860324
Kurtosis0.3521426104
Mean55.11636364
Median Absolute Deviation (MAD)15
Skewness-0.9496343299
Sum24705910
Variance593.4418961
MonotocityNot monotonic
2020-09-29T18:56:33.871072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0442958.1%
 
63390577.1%
 
61319555.8%
 
79253494.6%
 
59214023.9%
 
77170853.1%
 
60165133.0%
 
62165013.0%
 
64160732.9%
 
58141842.6%
 
Other values (91)20583637.5%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0442958.1%
 
19< 0.1%
 
24< 0.1%
 
313< 0.1%
 
44< 0.1%
 
ValueCountFrequency (%) 
100111< 0.1%
 
99236< 0.1%
 
9814970.3%
 
9713720.2%
 
9625800.5%
 

NT_FG_D2_PT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean59.51918572
Minimum0
Maximum100
Zeros45289
Zeros (%)8.2%
Memory size4.2 MiB
2020-09-29T18:56:34.124990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median65
Q375
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation23.58626718
Coefficient of variation (CV)0.3962800716
Kurtosis1.441949309
Mean59.51918572
Median Absolute Deviation (MAD)10
Skewness-1.429579353
Sum26679475
Variance556.3119996
MonotocityNot monotonic
2020-09-29T18:56:34.447348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
758576415.6%
 
656755012.3%
 
55480958.8%
 
0452898.2%
 
80356066.5%
 
70355726.5%
 
60354666.5%
 
50311125.7%
 
85170913.1%
 
90152122.8%
 
Other values (11)314935.7%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0452898.2%
 
515< 0.1%
 
1011< 0.1%
 
1543< 0.1%
 
2024< 0.1%
 
ValueCountFrequency (%) 
1008260.2%
 
9521160.4%
 
90152122.8%
 
85170913.1%
 
80356066.5%
 

NT_FG_D2_CT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean54.01570552
Minimum0
Maximum100
Zeros51590
Zeros (%)9.4%
Memory size4.2 MiB
2020-09-29T18:56:34.632218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q140
median60
Q380
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)40

Descriptive statistics

Standard deviation26.12986795
Coefficient of variation (CV)0.4837457495
Kurtosis-0.1062662594
Mean54.01570552
Median Absolute Deviation (MAD)20
Skewness-0.6902366243
Sum24212540
Variance682.7699993
MonotocityNot monotonic
2020-09-29T18:56:34.832710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
6018068832.9%
 
8010023318.2%
 
407408013.5%
 
0515909.4%
 
20222064.0%
 
100194533.5%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
0515909.4%
 
20222064.0%
 
407408013.5%
 
6018068832.9%
 
8010023318.2%
 
ValueCountFrequency (%) 
100194533.5%
 
8010023318.2%
 
6018068832.9%
 
407408013.5%
 
20222064.0%
 

NT_CE
Real number (ℝ≥0)

MISSING

Distinct929
Distinct (%)0.2%
Missing101242
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean41.11082533
Minimum0
Maximum100
Zeros1141
Zeros (%)0.2%
Memory size4.2 MiB
2020-09-29T18:56:35.064861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.1
Q129.8
median40.1
Q351.8
95-th percentile68.4
Maximum100
Range100
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.58235838
Coefficient of variation (CV)0.3790329739
Kurtosis-0.3356119686
Mean41.11082533
Median Absolute Deviation (MAD)10.9
Skewness0.2497847843
Sum18427721.9
Variance242.8098928
MonotocityNot monotonic
2020-09-29T18:56:35.317524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3441920.8%
 
42.534440.6%
 
29.833170.6%
 
1728210.5%
 
25.527560.5%
 
30.627360.5%
 
27.226430.5%
 
40.523660.4%
 
5123550.4%
 
22.223120.4%
 
Other values (919)41930376.3%
 
(Missing)10124218.4%
 
ValueCountFrequency (%) 
011410.2%
 
0.54< 0.1%
 
0.85< 0.1%
 
116< 0.1%
 
1.11< 0.1%
 
ValueCountFrequency (%) 
1001< 0.1%
 
98.82< 0.1%
 
98.52< 0.1%
 
97.51< 0.1%
 
96.51< 0.1%
 

NT_OBJ_CE
Real number (ℝ≥0)

MISSING

Distinct144
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean42.30203882
Minimum0
Maximum100
Zeros1435
Zeros (%)0.3%
Memory size4.2 MiB
2020-09-29T18:56:35.549979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.4
Q130
median40
Q354.2
95-th percentile72
Maximum100
Range100
Interquartile range (IQR)24.2

Descriptive statistics

Standard deviation16.82795836
Coefficient of variation (CV)0.3978049009
Kurtosis-0.3704418341
Mean42.30203882
Median Absolute Deviation (MAD)12
Skewness0.2573669766
Sum18961888.9
Variance283.1801825
MonotocityNot monotonic
2020-09-29T18:56:35.796903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
40230464.2%
 
32154432.8%
 
36152902.8%
 
28139632.5%
 
44122532.2%
 
39.1121062.2%
 
20120552.2%
 
34.8118852.2%
 
30.4116882.1%
 
43.5116002.1%
 
Other values (134)30892156.2%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
014350.3%
 
3.88< 0.1%
 
4246< 0.1%
 
4.26< 0.1%
 
4.36070.1%
 
ValueCountFrequency (%) 
10023< 0.1%
 
96.21< 0.1%
 
9627< 0.1%
 
95.748< 0.1%
 
95.533< 0.1%
 

NT_DIS_CE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct77
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean34.32760178
Minimum0
Maximum100
Zeros57488
Zeros (%)10.5%
Memory size4.2 MiB
2020-09-29T18:56:36.052612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.7
median35
Q351.7
95-th percentile71.7
Maximum100
Range100
Interquartile range (IQR)35

Descriptive statistics

Standard deviation22.84878464
Coefficient of variation (CV)0.6656096974
Kurtosis-0.7869154368
Mean34.32760178
Median Absolute Deviation (MAD)18.3
Skewness0.1484457243
Sum15387347.5
Variance522.0669594
MonotocityNot monotonic
2020-09-29T18:56:36.314430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05748810.5%
 
43.3130882.4%
 
33.3128432.3%
 
40122942.2%
 
50120522.2%
 
46.7117282.1%
 
6.7115792.1%
 
23.3115182.1%
 
36.7114722.1%
 
26.7113272.1%
 
Other values (67)28286151.5%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
05748810.5%
 
1.73410.1%
 
3.348040.9%
 
529260.5%
 
6.7115792.1%
 
ValueCountFrequency (%) 
1008750.2%
 
96.7132< 0.1%
 
95162< 0.1%
 
93.35280.1%
 
91.76340.1%
 

NT_CE_D1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean37.50306748
Minimum0
Maximum100
Zeros107508
Zeros (%)19.6%
Memory size4.2 MiB
2020-09-29T18:56:36.538834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q360
95-th percentile85
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.53749565
Coefficient of variation (CV)0.7876021251
Kurtosis-0.995099994
Mean37.50306748
Median Absolute Deviation (MAD)20
Skewness0.2595306924
Sum16810750
Variance872.4636492
MonotocityNot monotonic
2020-09-29T18:56:36.738366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
010750819.6%
 
60481848.8%
 
40471248.6%
 
20398597.3%
 
80324175.9%
 
50281135.1%
 
30227024.1%
 
35179633.3%
 
100148072.7%
 
10145762.7%
 
Other values (11)7499713.6%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
010750819.6%
 
57880.1%
 
10145762.7%
 
1559411.1%
 
20398597.3%
 
ValueCountFrequency (%) 
100148072.7%
 
9582< 0.1%
 
9056561.0%
 
8564481.2%
 
80324175.9%
 

NT_CE_D2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean32.4966425
Minimum0
Maximum100
Zeros148297
Zeros (%)27.0%
Memory size4.2 MiB
2020-09-29T18:56:36.988008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q355
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)55

Descriptive statistics

Standard deviation29.89142281
Coefficient of variation (CV)0.9198311122
Kurtosis-0.9846864943
Mean32.4966425
Median Absolute Deviation (MAD)30
Skewness0.4340988491
Sum14566620
Variance893.4971577
MonotocityNot monotonic
2020-09-29T18:56:37.224104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
014829727.0%
 
45381806.9%
 
20278815.1%
 
15231674.2%
 
70227144.1%
 
30226694.1%
 
50216803.9%
 
80205253.7%
 
65189673.5%
 
55182173.3%
 
Other values (11)8595315.6%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
014829727.0%
 
58030.1%
 
1076311.4%
 
15231674.2%
 
20278815.1%
 
ValueCountFrequency (%) 
100133862.4%
 
9510< 0.1%
 
9032990.6%
 
8533260.6%
 
80205253.7%
 

NT_CE_D3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing101237
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean32.79210262
Minimum0
Maximum100
Zeros155202
Zeros (%)28.2%
Memory size4.2 MiB
2020-09-29T18:56:37.436350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q355
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)55

Descriptive statistics

Standard deviation31.36970948
Coefficient of variation (CV)0.9566239116
Kurtosis-0.7264689077
Mean32.79210262
Median Absolute Deviation (MAD)30
Skewness0.5901718117
Sum14699060
Variance984.0586728
MonotocityNot monotonic
2020-09-29T18:56:37.774722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
015520228.2%
 
35490588.9%
 
70381116.9%
 
100300695.5%
 
20236004.3%
 
45230494.2%
 
30199943.6%
 
50177173.2%
 
40140942.6%
 
60135722.5%
 
Other values (11)6378411.6%
 
(Missing)10123718.4%
 
ValueCountFrequency (%) 
015520228.2%
 
54920.1%
 
1085531.6%
 
1580671.5%
 
20236004.3%
 
ValueCountFrequency (%) 
100300695.5%
 
952< 0.1%
 
9021550.4%
 
8522790.4%
 
8063031.1%
 

CO_RS_I1
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
C
261440 
D
100112 
B
42587 
.
 
20396
E
 
14851
Other values (2)
 
8970
ValueCountFrequency (%) 
C26144047.6%
 
D10011218.2%
 
B425877.8%
 
.203963.7%
 
E148512.7%
 
A85631.6%
 
*4070.1%
 
(Missing)10113118.4%
 
2020-09-29T18:56:38.000355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I2
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
C
247111 
D
134145 
B
24948 
.
 
20523
E
 
16558
Other values (2)
 
5071
ValueCountFrequency (%) 
C24711145.0%
 
D13414524.4%
 
B249484.5%
 
.205233.7%
 
E165583.0%
 
A46600.8%
 
*4110.1%
 
(Missing)10113118.4%
 
2020-09-29T18:56:38.282868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I3
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
C
225373 
B
103771 
A
71144 
D
 
20870
.
 
20582
Other values (2)
 
6616
ValueCountFrequency (%) 
C22537341.0%
 
B10377118.9%
 
A7114412.9%
 
D208703.8%
 
.205823.7%
 
E57151.0%
 
*9010.2%
 
(Missing)10113118.4%
 
2020-09-29T18:56:38.529067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I4
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
B
223146 
A
94939 
C
62589 
D
41109 
.
 
20733
Other values (2)
 
5840
ValueCountFrequency (%) 
B22314640.6%
 
A9493917.3%
 
C6258911.4%
 
D411097.5%
 
.207333.8%
 
E52701.0%
 
*5700.1%
 
(Missing)10113118.4%
 
2020-09-29T18:56:38.742184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I5
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
B
229545 
A
84540 
C
68457 
D
39187 
.
 
20761
Other values (2)
 
5866
ValueCountFrequency (%) 
B22954541.8%
 
A8454015.4%
 
C6845712.5%
 
D391877.1%
 
.207613.8%
 
E50360.9%
 
*8300.2%
 
(Missing)10113118.4%
 
2020-09-29T18:56:38.958133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I6
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
C
200750 
B
130583 
D
64218 
A
25002 
.
20935 
Other values (2)
 
6868
ValueCountFrequency (%) 
C20075036.5%
 
B13058323.8%
 
D6421811.7%
 
A250024.6%
 
.209353.8%
 
E59081.1%
 
*9600.2%
 
(Missing)10113118.4%
 
2020-09-29T18:56:39.205178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I7
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
B
198464 
E
88892 
D
61850 
A
52259 
C
23254 
Other values (2)
23637 
ValueCountFrequency (%) 
B19846436.1%
 
E8889216.2%
 
D6185011.3%
 
A522599.5%
 
C232544.2%
 
.217564.0%
 
*18810.3%
 
(Missing)10113118.4%
 
2020-09-29T18:56:39.459084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I8
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
D
252995 
C
64096 
E
45620 
B
44918 
.
 
22181
Other values (2)
 
18546
ValueCountFrequency (%) 
D25299546.0%
 
C6409611.7%
 
E456208.3%
 
B449188.2%
 
.221814.0%
 
A173853.2%
 
*11610.2%
 
(Missing)10113118.4%
 
2020-09-29T18:56:39.690471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

CO_RS_I9
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing101131
Missing (%)18.4%
Memory size4.2 MiB
D
158460 
C
143679 
B
88557 
.
24856 
E
24802 
Other values (2)
 
8002
ValueCountFrequency (%) 
D15846028.8%
 
C14367926.1%
 
B8855716.1%
 
.248564.5%
 
E248024.5%
 
A71821.3%
 
*8200.1%
 
(Missing)10113118.4%
 
2020-09-29T18:56:39.928658image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I01
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80388
Missing (%)14.6%
Memory size4.2 MiB
A
319959 
B
114755 
E
 
17006
C
 
16141
D
 
1238
ValueCountFrequency (%) 
A31995958.2%
 
B11475520.9%
 
E170063.1%
 
C161412.9%
 
D12380.2%
 
(Missing)8038814.6%
 
2020-09-29T18:56:40.160144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I02
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80389
Missing (%)14.6%
Memory size4.2 MiB
A
279530 
C
142126 
B
36853 
D
 
7824
E
 
2765
ValueCountFrequency (%) 
A27953050.9%
 
C14212625.9%
 
B368536.7%
 
D78241.4%
 
E27650.5%
 
(Missing)8038914.6%
 
2020-09-29T18:56:40.417909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I03
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing80389
Missing (%)14.6%
Memory size4.2 MiB
A
465087 
B
 
3048
C
 
963
ValueCountFrequency (%) 
A46508784.6%
 
B30480.6%
 
C9630.2%
 
(Missing)8038914.6%
 
2020-09-29T18:56:40.646020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I04
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80389
Missing (%)14.6%
Memory size4.2 MiB
D
143168 
B
133413 
C
70819 
E
70785 
A
26150 
ValueCountFrequency (%) 
D14316826.1%
 
B13341324.3%
 
C7081912.9%
 
E7078512.9%
 
A261504.8%
 
F247634.5%
 
(Missing)8038914.6%
 
2020-09-29T18:56:40.862127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I05
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80389
Missing (%)14.6%
Memory size4.2 MiB
D
152087 
B
116645 
C
73356 
E
71199 
F
37389 
ValueCountFrequency (%) 
D15208727.7%
 
B11664521.2%
 
C7335613.3%
 
E7119913.0%
 
F373896.8%
 
A184223.4%
 
(Missing)8038914.6%
 
2020-09-29T18:56:41.093277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I06
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80392
Missing (%)14.6%
Memory size4.2 MiB
B
263242 
C
148604 
A
36064 
D
 
18204
F
 
2392
ValueCountFrequency (%) 
B26324247.9%
 
C14860427.0%
 
A360646.6%
 
D182043.3%
 
F23920.4%
 
E5890.1%
 
(Missing)8039214.6%
 
2020-09-29T18:56:41.347259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I07
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80390
Missing (%)14.6%
Memory size4.2 MiB
D
117712 
C
111407 
B
82352 
E
66641 
A
44453 
Other values (3)
46532 
ValueCountFrequency (%) 
D11771221.4%
 
C11140720.3%
 
B8235215.0%
 
E6664112.1%
 
A444538.1%
 
F286515.2%
 
G106841.9%
 
H71971.3%
 
(Missing)8039014.6%
 
2020-09-29T18:56:41.586514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I08
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing80392
Missing (%)14.6%
Memory size4.2 MiB
B
116564 
C
98699 
E
72767 
D
67595 
F
52018 
Other values (2)
61452 
ValueCountFrequency (%) 
B11656421.2%
 
C9869918.0%
 
E7276713.2%
 
D6759512.3%
 
F520189.5%
 
A488618.9%
 
G125912.3%
 
(Missing)8039214.6%
 
2020-09-29T18:56:41.810204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I09
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80393
Missing (%)14.6%
Memory size4.2 MiB
C
137655 
E
102685 
B
92063 
D
71605 
F
46673 
ValueCountFrequency (%) 
C13765525.1%
 
E10268518.7%
 
B9206316.8%
 
D7160513.0%
 
F466738.5%
 
A184133.4%
 
(Missing)8039314.6%
 
2020-09-29T18:56:42.040817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I10
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80397
Missing (%)14.6%
Memory size4.2 MiB
E
230852 
A
131893 
D
55630 
C
26188 
B
24527 
ValueCountFrequency (%) 
E23085242.0%
 
A13189324.0%
 
D5563010.1%
 
C261884.8%
 
B245274.5%
 
(Missing)8039714.6%
 
2020-09-29T18:56:42.264464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I11
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing80393
Missing (%)14.6%
Memory size4.2 MiB
B
214568 
E
67019 
A
57500 
H
39700 
C
33745 
Other values (6)
56562 
ValueCountFrequency (%) 
B21456839.0%
 
E6701912.2%
 
A5750010.5%
 
H397007.2%
 
C337456.1%
 
I154542.8%
 
G152272.8%
 
D103381.9%
 
J69431.3%
 
F57551.0%
 
(Missing)8039314.6%
 
2020-09-29T18:56:42.527371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I12
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80392
Missing (%)14.6%
Memory size4.2 MiB
A
449961 
F
 
10974
E
 
3959
C
 
2212
D
 
1030
ValueCountFrequency (%) 
A44996181.9%
 
F109742.0%
 
E39590.7%
 
C22120.4%
 
D10300.2%
 
B9590.2%
 
(Missing)8039214.6%
 
2020-09-29T18:56:42.857253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I13
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80532
Missing (%)14.7%
Memory size4.2 MiB
A
418899 
F
 
27442
B
 
9126
C
 
6446
D
 
6011
ValueCountFrequency (%) 
A41889976.2%
 
F274425.0%
 
B91261.7%
 
C64461.2%
 
D60111.1%
 
E10310.2%
 
(Missing)8053214.7%
 
2020-09-29T18:56:43.059795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I14
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80532
Missing (%)14.7%
Memory size4.2 MiB
A
452548 
F
 
9459
E
 
5267
B
 
1134
C
 
338
ValueCountFrequency (%) 
A45254882.4%
 
F94591.7%
 
E52671.0%
 
B11340.2%
 
C3380.1%
 
D209< 0.1%
 
(Missing)8053214.7%
 
2020-09-29T18:56:43.257944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I15
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80533
Missing (%)14.7%
Memory size4.2 MiB
A
384911 
C
 
29546
D
 
23901
E
 
14675
F
 
10154
ValueCountFrequency (%) 
A38491170.0%
 
C295465.4%
 
D239014.3%
 
E146752.7%
 
F101541.8%
 
B57671.0%
 
(Missing)8053314.7%
 
2020-09-29T18:56:43.511974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I16
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing80551
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean34.34247957
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:43.724560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q129
median35
Q341
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.743152516
Coefficient of variation (CV)0.2837055634
Kurtosis5.209383902
Mean34.34247957
Median Absolute Deviation (MAD)6
Skewness0.7312756753
Sum16104425
Variance94.92902095
MonotocityNot monotonic
2020-09-29T18:56:43.928558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3511673421.2%
 
31530479.7%
 
33372056.8%
 
43371296.8%
 
41337646.1%
 
29222634.1%
 
42220024.0%
 
26187923.4%
 
52157722.9%
 
23130522.4%
 
Other values (18)9917618.0%
 
(Missing)8055114.7%
 
ValueCountFrequency (%) 
1138290.7%
 
1214520.3%
 
1382391.5%
 
149960.2%
 
1594751.7%
 
ValueCountFrequency (%) 
9913940.3%
 
53112012.0%
 
52157722.9%
 
5187621.6%
 
5064031.2%
 

QE_I17
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing80533
Missing (%)14.7%
Memory size4.2 MiB
A
295651 
B
120282 
D
 
29201
E
 
21519
F
 
1724
ValueCountFrequency (%) 
A29565153.8%
 
B12028221.9%
 
D292015.3%
 
E215193.9%
 
F17240.3%
 
C5770.1%
 
(Missing)8053314.7%
 
2020-09-29T18:56:44.160745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I18
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80532
Missing (%)14.7%
Memory size4.2 MiB
A
387140 
B
41611 
D
 
25926
C
 
10078
E
 
4200
ValueCountFrequency (%) 
A38714070.5%
 
B416117.6%
 
D259264.7%
 
C100781.8%
 
E42000.8%
 
(Missing)8053214.7%
 
2020-09-29T18:56:44.430234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I19
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing80533
Missing (%)14.7%
Memory size4.2 MiB
B
271576 
A
99094 
C
41289 
F
29296 
G
 
18165
Other values (2)
 
9534
ValueCountFrequency (%) 
B27157649.4%
 
A9909418.0%
 
C412897.5%
 
F292965.3%
 
G181653.3%
 
D64971.2%
 
E30370.6%
 
(Missing)8053314.7%
 
2020-09-29T18:56:44.680199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I20
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing80532
Missing (%)14.7%
Memory size4.2 MiB
C
167093 
A
154685 
G
39894 
K
32427 
B
28845 
Other values (6)
46011 
ValueCountFrequency (%) 
C16709330.4%
 
A15468528.2%
 
G398947.3%
 
K324275.9%
 
B288455.2%
 
H169713.1%
 
E108132.0%
 
J78501.4%
 
D58931.1%
 
F24120.4%
 
(Missing)8053214.7%
 
2020-09-29T18:56:44.893418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I21
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing80534
Missing (%)14.7%
Memory size4.2 MiB
A
311475 
B
157478 
ValueCountFrequency (%) 
A31147556.7%
 
B15747828.7%
 
(Missing)8053414.7%
 
2020-09-29T18:56:45.112747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I22
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80532
Missing (%)14.7%
Memory size4.2 MiB
B
163304 
C
147162 
E
62935 
D
47796 
A
47758 
ValueCountFrequency (%) 
B16330429.7%
 
C14716226.8%
 
E6293511.5%
 
D477968.7%
 
A477588.7%
 
(Missing)8053214.7%
 
2020-09-29T18:56:45.331972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I23
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80533
Missing (%)14.7%
Memory size4.2 MiB
B
230989 
C
126746 
D
44054 
E
36990 
A
30175 
ValueCountFrequency (%) 
B23098942.0%
 
C12674623.1%
 
D440548.0%
 
E369906.7%
 
A301755.5%
 
(Missing)8053314.7%
 
2020-09-29T18:56:45.598531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I24
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing80695
Missing (%)14.7%
Memory size4.2 MiB
E
341294 
A
86227 
D
 
24264
C
 
12299
B
 
4708
ValueCountFrequency (%) 
E34129462.1%
 
A8622715.7%
 
D242644.4%
 
C122992.2%
 
B47080.9%
 
(Missing)8069514.7%
 
2020-09-29T18:56:45.849324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I25
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80695
Missing (%)14.7%
Memory size4.2 MiB
A
150188 
E
111082 
C
94660 
H
65530 
B
31013 
Other values (3)
16319 
ValueCountFrequency (%) 
A15018827.3%
 
E11108220.2%
 
C9466017.2%
 
H6553011.9%
 
B310135.6%
 
F83861.5%
 
D54311.0%
 
G25020.5%
 
(Missing)8069514.7%
 
2020-09-29T18:56:46.085728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I26
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing80695
Missing (%)14.7%
Memory size4.2 MiB
F
171430 
C
88783 
B
57446 
I
40403 
A
34310 
Other values (4)
76420 
ValueCountFrequency (%) 
F17143031.2%
 
C8878316.2%
 
B5744610.5%
 
I404037.4%
 
A343106.2%
 
E330276.0%
 
H264784.8%
 
D120572.2%
 
G48580.9%
 
(Missing)8069514.7%
 
2020-09-29T18:56:46.317315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

QE_I27
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80698
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.374494709
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:46.538495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9772874459
Coefficient of variation (CV)0.1818380143
Kurtosis2.774768421
Mean5.374494709
Median Absolute Deviation (MAD)0
Skewness-1.417629749
Sum2519504
Variance0.955090752
MonotocityNot monotonic
2020-09-29T18:56:46.766941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627093849.3%
 
511188420.4%
 
45729910.4%
 
3146442.7%
 
247950.9%
 
736070.7%
 
829810.5%
 
126410.5%
 
(Missing)8069814.7%
 
ValueCountFrequency (%) 
126410.5%
 
247950.9%
 
3146442.7%
 
45729910.4%
 
511188420.4%
 
ValueCountFrequency (%) 
829810.5%
 
736070.7%
 
627093849.3%
 
511188420.4%
 
45729910.4%
 

QE_I28
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80697
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.277924017
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:46.951221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.159234162
Coefficient of variation (CV)0.2196382818
Kurtosis2.119550514
Mean5.277924017
Median Absolute Deviation (MAD)0
Skewness-1.268329446
Sum2474238
Variance1.343823843
MonotocityNot monotonic
2020-09-29T18:56:47.151704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624541644.7%
 
511095920.2%
 
45921710.8%
 
3207643.8%
 
7111742.0%
 
296761.8%
 
160651.1%
 
855191.0%
 
(Missing)8069714.7%
 
ValueCountFrequency (%) 
160651.1%
 
296761.8%
 
3207643.8%
 
45921710.8%
 
511095920.2%
 
ValueCountFrequency (%) 
855191.0%
 
7111742.0%
 
624541644.7%
 
511095920.2%
 
45921710.8%
 

QE_I29
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80697
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.132366305
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:47.352120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.188827355
Coefficient of variation (CV)0.23163338
Kurtosis1.539793972
Mean5.132366305
Median Absolute Deviation (MAD)1
Skewness-1.245621679
Sum2406002
Variance1.413310479
MonotocityNot monotonic
2020-09-29T18:56:47.715261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623357742.5%
 
511428020.8%
 
46890112.5%
 
3267094.9%
 
2122422.2%
 
169561.3%
 
830940.6%
 
730310.6%
 
(Missing)8069714.7%
 
ValueCountFrequency (%) 
169561.3%
 
2122422.2%
 
3267094.9%
 
46890112.5%
 
511428020.8%
 
ValueCountFrequency (%) 
830940.6%
 
730310.6%
 
623357742.5%
 
511428020.8%
 
46890112.5%
 

QE_I30
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80699
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.099275152
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:47.915485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.249005674
Coefficient of variation (CV)0.2449378857
Kurtosis1.372250431
Mean5.099275152
Median Absolute Deviation (MAD)0
Skewness-1.267074697
Sum2390479
Variance1.560015175
MonotocityNot monotonic
2020-09-29T18:56:48.100359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623673643.1%
 
510644819.4%
 
46680512.2%
 
3288525.3%
 
2147722.7%
 
190941.7%
 
732390.6%
 
828420.5%
 
(Missing)8069914.7%
 
ValueCountFrequency (%) 
190941.7%
 
2147722.7%
 
3288525.3%
 
46680512.2%
 
510644819.4%
 
ValueCountFrequency (%) 
828420.5%
 
732390.6%
 
623673643.1%
 
510644819.4%
 
46680512.2%
 

QE_I31
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80698
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.408384156
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:48.285260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.007781874
Coefficient of variation (CV)0.1863369622
Kurtosis3.823740709
Mean5.408384156
Median Absolute Deviation (MAD)0
Skewness-1.782863036
Sum2535391
Variance1.015624305
MonotocityNot monotonic
2020-09-29T18:56:48.497931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
629057352.9%
 
510296018.7%
 
4438008.0%
 
3151342.8%
 
272421.3%
 
139370.7%
 
730140.5%
 
821290.4%
 
(Missing)8069814.7%
 
ValueCountFrequency (%) 
139370.7%
 
272421.3%
 
3151342.8%
 
4438008.0%
 
510296018.7%
 
ValueCountFrequency (%) 
821290.4%
 
730140.5%
 
629057352.9%
 
510296018.7%
 
4438008.0%
 

QE_I32
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80699
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.337753953
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:48.716749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.11758837
Coefficient of variation (CV)0.2093742761
Kurtosis3.129807552
Mean5.337753953
Median Absolute Deviation (MAD)0
Skewness-1.707577811
Sum2502275
Variance1.249003765
MonotocityNot monotonic
2020-09-29T18:56:48.930100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
628241851.4%
 
59588817.5%
 
4480728.7%
 
3186483.4%
 
295731.7%
 
167351.2%
 
754181.0%
 
820360.4%
 
(Missing)8069914.7%
 
ValueCountFrequency (%) 
167351.2%
 
295731.7%
 
3186483.4%
 
4480728.7%
 
59588817.5%
 
ValueCountFrequency (%) 
820360.4%
 
754181.0%
 
628241851.4%
 
59588817.5%
 
4480728.7%
 

QE_I33
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80699
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.428086896
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:49.133087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9692244683
Coefficient of variation (CV)0.1785572867
Kurtosis4.09939893
Mean5.428086896
Median Absolute Deviation (MAD)0
Skewness-1.823779155
Sum2544622
Variance0.93939607
MonotocityNot monotonic
2020-09-29T18:56:49.317649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
629259653.2%
 
510625219.3%
 
4421667.7%
 
3138852.5%
 
263201.2%
 
133240.6%
 
724570.4%
 
817880.3%
 
(Missing)8069914.7%
 
ValueCountFrequency (%) 
133240.6%
 
263201.2%
 
3138852.5%
 
4421667.7%
 
510625219.3%
 
ValueCountFrequency (%) 
817880.3%
 
724570.4%
 
629259653.2%
 
510625219.3%
 
4421667.7%
 

QE_I34
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80698
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.373419598
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:49.533446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.027167953
Coefficient of variation (CV)0.1911572202
Kurtosis3.41505111
Mean5.373419598
Median Absolute Deviation (MAD)0
Skewness-1.667714443
Sum2519000
Variance1.055074004
MonotocityNot monotonic
2020-09-29T18:56:49.772181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627914250.8%
 
510852519.8%
 
4476108.7%
 
3160582.9%
 
273041.3%
 
142000.8%
 
734990.6%
 
824510.4%
 
(Missing)8069814.7%
 
ValueCountFrequency (%) 
142000.8%
 
273041.3%
 
3160582.9%
 
4476108.7%
 
510852519.8%
 
ValueCountFrequency (%) 
824510.4%
 
734990.6%
 
627914250.8%
 
510852519.8%
 
4476108.7%
 

QE_I35
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80698
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.345752567
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:49.967495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.040230309
Coefficient of variation (CV)0.1945900593
Kurtosis3.222483482
Mean5.345752567
Median Absolute Deviation (MAD)0
Skewness-1.653558447
Sum2506030
Variance1.082079096
MonotocityNot monotonic
2020-09-29T18:56:50.158030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
627436849.9%
 
511029020.1%
 
4499819.1%
 
3167543.0%
 
277111.4%
 
144990.8%
 
732230.6%
 
819630.4%
 
(Missing)8069814.7%
 
ValueCountFrequency (%) 
144990.8%
 
277111.4%
 
3167543.0%
 
4499819.1%
 
511029020.1%
 
ValueCountFrequency (%) 
819630.4%
 
732230.6%
 
627436849.9%
 
511029020.1%
 
4499819.1%
 

QE_I36
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.306830401
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:50.358512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009071463
Coefficient of variation (CV)0.1901457908
Kurtosis2.690944958
Mean5.306830401
Median Absolute Deviation (MAD)0
Skewness-1.424074999
Sum2487460
Variance1.018225218
MonotocityNot monotonic
2020-09-29T18:56:50.558885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
625350746.1%
 
512713223.1%
 
45643810.3%
 
3167563.0%
 
264461.2%
 
133120.6%
 
825750.5%
 
725620.5%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
133120.6%
 
264461.2%
 
3167563.0%
 
45643810.3%
 
512713223.1%
 
ValueCountFrequency (%) 
825750.5%
 
725620.5%
 
625350746.1%
 
512713223.1%
 
45643810.3%
 

QE_I37
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.044710365
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:50.790660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.247291925
Coefficient of variation (CV)0.2472474799
Kurtosis1.293426207
Mean5.044710365
Median Absolute Deviation (MAD)1
Skewness-1.216344294
Sum2364597
Variance1.555737145
MonotocityNot monotonic
2020-09-29T18:56:50.993863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621921739.9%
 
511757421.4%
 
47282713.3%
 
3286435.2%
 
2145342.6%
 
197871.8%
 
738350.7%
 
823110.4%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
197871.8%
 
2145342.6%
 
3286435.2%
 
47282713.3%
 
511757421.4%
 
ValueCountFrequency (%) 
823110.4%
 
738350.7%
 
621921739.9%
 
511757421.4%
 
47282713.3%
 

QE_I38
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.033836255
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:51.176011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.196936809
Coefficient of variation (CV)0.2377782566
Kurtosis1.137859232
Mean5.033836255
Median Absolute Deviation (MAD)1
Skewness-1.105918211
Sum2359500
Variance1.432657724
MonotocityNot monotonic
2020-09-29T18:56:51.376529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620903338.0%
 
512582222.9%
 
47838714.3%
 
3299315.4%
 
2135142.5%
 
168441.2%
 
826000.5%
 
725970.5%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
168441.2%
 
2135142.5%
 
3299315.4%
 
47838714.3%
 
512582222.9%
 
ValueCountFrequency (%) 
826000.5%
 
725970.5%
 
620903338.0%
 
512582222.9%
 
47838714.3%
 

QE_I39
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80760
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.178033269
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:51.592436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.133242779
Coefficient of variation (CV)0.218855832
Kurtosis1.633015646
Mean5.178033269
Median Absolute Deviation (MAD)1
Skewness-1.19504671
Sum2427084
Variance1.284239197
MonotocityNot monotonic
2020-09-29T18:56:51.824126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623311242.4%
 
512156522.1%
 
46702112.2%
 
3247904.5%
 
2106751.9%
 
146670.8%
 
838370.7%
 
730600.6%
 
(Missing)8076014.7%
 
ValueCountFrequency (%) 
146670.8%
 
2106751.9%
 
3247904.5%
 
46702112.2%
 
512156522.1%
 
ValueCountFrequency (%) 
838370.7%
 
730600.6%
 
623311242.4%
 
512156522.1%
 
46702112.2%
 

QE_I40
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.859293663
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:52.027805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.498321642
Coefficient of variation (CV)0.3083414475
Kurtosis0.3416128126
Mean4.859293663
Median Absolute Deviation (MAD)1
Skewness-0.7391244343
Sum2277687
Variance2.244967742
MonotocityNot monotonic
2020-09-29T18:56:52.225093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
618087332.9%
 
510739019.5%
 
48076014.7%
 
3390187.1%
 
2215423.9%
 
1190923.5%
 
8128582.3%
 
771951.3%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
1190923.5%
 
2215423.9%
 
3390187.1%
 
48076014.7%
 
510739019.5%
 
ValueCountFrequency (%) 
8128582.3%
 
771951.3%
 
618087332.9%
 
510739019.5%
 
48076014.7%
 

QE_I41
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.923339335
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:52.548058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457299931
Coefficient of variation (CV)0.295998271
Kurtosis0.5703470246
Mean4.923339335
Median Absolute Deviation (MAD)1
Skewness-1.123430481
Sum2307707
Variance2.123723089
MonotocityNot monotonic
2020-09-29T18:56:52.764104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622647441.2%
 
59482717.3%
 
46315611.5%
 
3339266.2%
 
2241414.4%
 
1192313.5%
 
840020.7%
 
729710.5%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
1192313.5%
 
2241414.4%
 
3339266.2%
 
46315611.5%
 
59482717.3%
 
ValueCountFrequency (%) 
840020.7%
 
729710.5%
 
622647441.2%
 
59482717.3%
 
46315611.5%
 

QE_I42
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80760
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.257017411
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:52.964726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.116799035
Coefficient of variation (CV)0.2124396682
Kurtosis2.424649154
Mean5.257017411
Median Absolute Deviation (MAD)0
Skewness-1.539134689
Sum2464106
Variance1.247240084
MonotocityNot monotonic
2020-09-29T18:56:53.165164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
626282747.8%
 
510930219.9%
 
45473910.0%
 
3213683.9%
 
2108092.0%
 
156101.0%
 
722300.4%
 
818420.3%
 
(Missing)8076014.7%
 
ValueCountFrequency (%) 
156101.0%
 
2108092.0%
 
3213683.9%
 
45473910.0%
 
510930219.9%
 
ValueCountFrequency (%) 
818420.3%
 
722300.4%
 
626282747.8%
 
510930219.9%
 
45473910.0%
 

QE_I43
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.923034254
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:53.349991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565326796
Coefficient of variation (CV)0.3179597612
Kurtosis0.3595667606
Mean4.923034254
Median Absolute Deviation (MAD)1
Skewness-0.9071711057
Sum2307564
Variance2.450247978
MonotocityNot monotonic
2020-09-29T18:56:53.566169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620729137.7%
 
59393717.1%
 
46405911.7%
 
3340816.2%
 
1239354.4%
 
2236744.3%
 
8121142.2%
 
796371.8%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
1239354.4%
 
2236744.3%
 
3340816.2%
 
46405911.7%
 
59393717.1%
 
ValueCountFrequency (%) 
8121142.2%
 
796371.8%
 
620729137.7%
 
59393717.1%
 
46405911.7%
 

QE_I44
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80760
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.866542785
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:53.782010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.645570749
Coefficient of variation (CV)0.3381395832
Kurtosis0.06138524014
Mean4.866542785
Median Absolute Deviation (MAD)1
Skewness-0.7895074554
Sum2281080
Variance2.70790309
MonotocityNot monotonic
2020-09-29T18:56:54.002736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619427035.4%
 
58947316.3%
 
46538211.9%
 
3364026.6%
 
1279845.1%
 
2263144.8%
 
7144672.6%
 
8144352.6%
 
(Missing)8076014.7%
 
ValueCountFrequency (%) 
1279845.1%
 
2263144.8%
 
3364026.6%
 
46538211.9%
 
58947316.3%
 
ValueCountFrequency (%) 
8144352.6%
 
7144672.6%
 
619427035.4%
 
58947316.3%
 
46538211.9%
 

QE_I45
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.006786452
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:54.198924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.448667015
Coefficient of variation (CV)0.2893406836
Kurtosis0.7195370916
Mean5.006786452
Median Absolute Deviation (MAD)1
Skewness-1.051602416
Sum2346821
Variance2.098636119
MonotocityNot monotonic
2020-09-29T18:56:54.398511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622343240.7%
 
59546517.4%
 
46315711.5%
 
3322785.9%
 
2217484.0%
 
1167773.1%
 
880721.5%
 
777991.4%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
1167773.1%
 
2217484.0%
 
3322785.9%
 
46315711.5%
 
59546517.4%
 
ValueCountFrequency (%) 
880721.5%
 
777991.4%
 
622343240.7%
 
59546517.4%
 
46315711.5%
 

QE_I46
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80759
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.838925774
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:54.584186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.909089401
Coefficient of variation (CV)0.3945275233
Kurtosis-0.485702785
Mean4.838925774
Median Absolute Deviation (MAD)1
Skewness-0.4604840511
Sum2268140
Variance3.644622341
MonotocityNot monotonic
2020-09-29T18:56:54.798939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
615888928.9%
 
57541613.7%
 
46605712.0%
 
8395477.2%
 
1390777.1%
 
3386817.0%
 
2310855.7%
 
7199763.6%
 
(Missing)8075914.7%
 
ValueCountFrequency (%) 
1390777.1%
 
2310855.7%
 
3386817.0%
 
46605712.0%
 
57541613.7%
 
ValueCountFrequency (%) 
8395477.2%
 
7199763.6%
 
615888928.9%
 
57541613.7%
 
46605712.0%
 

QE_I47
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.016140836
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:55.041271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323411338
Coefficient of variation (CV)0.2638305783
Kurtosis0.9847393518
Mean5.016140836
Median Absolute Deviation (MAD)1
Skewness-1.125264997
Sum2351000
Variance1.751417569
MonotocityNot monotonic
2020-09-29T18:56:55.234170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621578239.3%
 
511150420.3%
 
46987312.7%
 
3311965.7%
 
2180583.3%
 
1116802.1%
 
768401.2%
 
837540.7%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
1116802.1%
 
2180583.3%
 
3311965.7%
 
46987312.7%
 
511150420.3%
 
ValueCountFrequency (%) 
837540.7%
 
768401.2%
 
621578239.3%
 
511150420.3%
 
46987312.7%
 

QE_I48
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.813626151
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:55.415647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.459568813
Coefficient of variation (CV)0.3032160718
Kurtosis0.285627159
Mean4.813626151
Median Absolute Deviation (MAD)1
Skewness-0.9192470161
Sum2256084
Variance2.13034112
MonotocityNot monotonic
2020-09-29T18:56:55.615898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
618761334.1%
 
510900919.8%
 
47705114.0%
 
3390137.1%
 
2243014.4%
 
1190583.5%
 
786781.6%
 
839640.7%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
1190583.5%
 
2243014.4%
 
3390137.1%
 
47705114.0%
 
510900919.8%
 
ValueCountFrequency (%) 
839640.7%
 
786781.6%
 
618761334.1%
 
510900919.8%
 
47705114.0%
 

QE_I49
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.182947255
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:55.819139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141097972
Coefficient of variation (CV)0.2201639175
Kurtosis1.813447154
Mean5.182947255
Median Absolute Deviation (MAD)0
Skewness-1.292267942
Sum2429180
Variance1.302104581
MonotocityNot monotonic
2020-09-29T18:56:56.054561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623754543.2%
 
512162722.1%
 
46246111.4%
 
3242454.4%
 
2115702.1%
 
153091.0%
 
832370.6%
 
726930.5%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
153091.0%
 
2115702.1%
 
3242454.4%
 
46246111.4%
 
512162722.1%
 
ValueCountFrequency (%) 
832370.6%
 
726930.5%
 
623754543.2%
 
512162722.1%
 
46246111.4%
 

QE_I50
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.404547171
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:56.248626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.449482772
Coefficient of variation (CV)0.2681968953
Kurtosis1.48451268
Mean5.404547171
Median Absolute Deviation (MAD)1
Skewness-1.201117446
Sum2533041
Variance2.101000305
MonotocityNot monotonic
2020-09-29T18:56:56.433470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621628739.4%
 
58301715.1%
 
76200511.3%
 
4466568.5%
 
3201803.7%
 
1149792.7%
 
2134082.4%
 
8121552.2%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
1149792.7%
 
2134082.4%
 
3201803.7%
 
4466568.5%
 
58301715.1%
 
ValueCountFrequency (%) 
8121552.2%
 
76200511.3%
 
621628739.4%
 
58301715.1%
 
4466568.5%
 

QE_I51
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.396776527
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:56.633644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.251136257
Coefficient of variation (CV)0.2318302882
Kurtosis2.262767156
Mean5.396776527
Median Absolute Deviation (MAD)0
Skewness-1.264852671
Sum2529399
Variance1.565341935
MonotocityNot monotonic
2020-09-29T18:56:56.826665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624261344.2%
 
59958918.1%
 
4480738.7%
 
7316845.8%
 
3181093.3%
 
2102621.9%
 
897841.8%
 
185731.6%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
185731.6%
 
2102621.9%
 
3181093.3%
 
4480738.7%
 
59958918.1%
 
ValueCountFrequency (%) 
897841.8%
 
7316845.8%
 
624261344.2%
 
59958918.1%
 
4480738.7%
 

QE_I52
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80801
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.633842274
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:57.026792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.210244806
Coefficient of variation (CV)0.4769788602
Kurtosis-1.056283448
Mean4.633842274
Median Absolute Deviation (MAD)1
Skewness-0.4245781073
Sum2171817
Variance4.885182103
MonotocityNot monotonic
2020-09-29T18:56:57.393145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
613860025.2%
 
17786814.2%
 
55609310.2%
 
7533359.7%
 
4475888.7%
 
8329716.0%
 
2322745.9%
 
3299575.5%
 
(Missing)8080114.7%
 
ValueCountFrequency (%) 
17786814.2%
 
2322745.9%
 
3299575.5%
 
4475888.7%
 
55609310.2%
 
ValueCountFrequency (%) 
8329716.0%
 
7533359.7%
 
613860025.2%
 
55609310.2%
 
4475888.7%
 

QE_I53
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.494176284
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:57.588554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.361320628
Coefficient of variation (CV)0.5254178918
Kurtosis-1.310044362
Mean4.494176284
Median Absolute Deviation (MAD)2
Skewness-0.3094981341
Sum2106362
Variance5.57583511
MonotocityNot monotonic
2020-09-29T18:56:57.773471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
611954321.8%
 
19909618.0%
 
76720112.2%
 
5464818.5%
 
4419187.6%
 
8340186.2%
 
2339106.2%
 
3265204.8%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
19909618.0%
 
2339106.2%
 
3265204.8%
 
4419187.6%
 
5464818.5%
 
ValueCountFrequency (%) 
8340186.2%
 
76720112.2%
 
611954321.8%
 
5464818.5%
 
4419187.6%
 

QE_I54
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.167988444
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:57.973768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.413372663
Coefficient of variation (CV)0.2734860339
Kurtosis1.417008734
Mean5.167988444
Median Absolute Deviation (MAD)0
Skewness-1.270013369
Sum2422169
Variance1.997622284
MonotocityNot monotonic
2020-09-29T18:56:58.189699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
625590646.6%
 
58491815.5%
 
4516429.4%
 
3249024.5%
 
2179313.3%
 
1164513.0%
 
899971.8%
 
769401.3%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
1164513.0%
 
2179313.3%
 
3249024.5%
 
4516429.4%
 
58491815.5%
 
ValueCountFrequency (%) 
899971.8%
 
769401.3%
 
625590646.6%
 
58491815.5%
 
4516429.4%
 

QE_I55
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80800
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.206062895
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:58.398338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.128105054
Coefficient of variation (CV)0.216690631
Kurtosis2.001763682
Mean5.206062895
Median Absolute Deviation (MAD)0
Skewness-1.314609705
Sum2440014
Variance1.272621012
MonotocityNot monotonic
2020-09-29T18:56:58.590342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624045943.8%
 
512203822.2%
 
46120311.1%
 
3228524.2%
 
2105801.9%
 
153231.0%
 
835950.7%
 
726370.5%
 
(Missing)8080014.7%
 
ValueCountFrequency (%) 
153231.0%
 
2105801.9%
 
3228524.2%
 
46120311.1%
 
512203822.2%
 
ValueCountFrequency (%) 
835950.7%
 
726370.5%
 
624045943.8%
 
512203822.2%
 
46120311.1%
 

QE_I56
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80801
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.988804871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:58.775371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.404886368
Coefficient of variation (CV)0.2816078007
Kurtosis0.764630723
Mean4.988804871
Median Absolute Deviation (MAD)1
Skewness-1.05650057
Sum2338183
Variance1.973705707
MonotocityNot monotonic
2020-09-29T18:56:58.975479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621726339.5%
 
510335818.8%
 
46687512.2%
 
3323275.9%
 
2212983.9%
 
1147812.7%
 
864691.2%
 
763151.1%
 
(Missing)8080114.7%
 
ValueCountFrequency (%) 
1147812.7%
 
2212983.9%
 
3323275.9%
 
46687512.2%
 
510335818.8%
 
ValueCountFrequency (%) 
864691.2%
 
763151.1%
 
621726339.5%
 
510335818.8%
 
46687512.2%
 

QE_I57
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80801
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.220563448
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:59.176028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.089373047
Coefficient of variation (CV)0.2086696307
Kurtosis2.066931891
Mean5.220563448
Median Absolute Deviation (MAD)0
Skewness-1.373796699
Sum2446805
Variance1.186733635
MonotocityNot monotonic
2020-09-29T18:56:59.392137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624387844.4%
 
512419822.6%
 
45983210.9%
 
3222794.1%
 
299411.8%
 
142740.8%
 
822380.4%
 
720460.4%
 
(Missing)8080114.7%
 
ValueCountFrequency (%) 
142740.8%
 
299411.8%
 
3222794.1%
 
45983210.9%
 
512419822.6%
 
ValueCountFrequency (%) 
822380.4%
 
720460.4%
 
624387844.4%
 
512419822.6%
 
45983210.9%
 

QE_I58
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80841
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.23627002
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:59.592427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.222636703
Coefficient of variation (CV)0.2334938225
Kurtosis2.04490754
Mean5.23627002
Median Absolute Deviation (MAD)0
Skewness-1.451823151
Sum2453957
Variance1.494840507
MonotocityNot monotonic
2020-09-29T18:56:59.792951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
626256847.8%
 
59672717.6%
 
4535389.7%
 
3233984.3%
 
2139812.5%
 
183241.5%
 
765981.2%
 
835120.6%
 
(Missing)8084114.7%
 
ValueCountFrequency (%) 
183241.5%
 
2139812.5%
 
3233984.3%
 
4535389.7%
 
59672717.6%
 
ValueCountFrequency (%) 
835120.6%
 
765981.2%
 
626256847.8%
 
59672717.6%
 
4535389.7%
 

QE_I59
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80842
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.000970884
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:56:59.993634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.404759706
Coefficient of variation (CV)0.2808973974
Kurtosis0.9734698307
Mean5.000970884
Median Absolute Deviation (MAD)1
Skewness-1.173500074
Sum2343680
Variance1.973349831
MonotocityNot monotonic
2020-09-29T18:57:00.209484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622777541.5%
 
510208518.6%
 
46281411.4%
 
3307685.6%
 
2191563.5%
 
1172033.1%
 
856221.0%
 
732220.6%
 
(Missing)8084214.7%
 
ValueCountFrequency (%) 
1172033.1%
 
2191563.5%
 
3307685.6%
 
46281411.4%
 
510208518.6%
 
ValueCountFrequency (%) 
856221.0%
 
732220.6%
 
622777541.5%
 
510208518.6%
 
46281411.4%
 

QE_I60
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80842
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.840600028
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:00.425589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.656472304
Coefficient of variation (CV)0.3422039199
Kurtosis0.03413126007
Mean4.840600028
Median Absolute Deviation (MAD)1
Skewness-0.8585263609
Sum2268523
Variance2.743900494
MonotocityNot monotonic
2020-09-29T18:57:00.663514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620087936.6%
 
58702515.8%
 
46272111.4%
 
3346036.3%
 
1310505.7%
 
2270164.9%
 
7144592.6%
 
8108922.0%
 
(Missing)8084214.7%
 
ValueCountFrequency (%) 
1310505.7%
 
2270164.9%
 
3346036.3%
 
46272111.4%
 
58702515.8%
 
ValueCountFrequency (%) 
8108922.0%
 
7144592.6%
 
620087936.6%
 
58702515.8%
 
46272111.4%
 

QE_I61
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80842
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.909443182
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:00.864042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.44406604
Coefficient of variation (CV)0.2941404935
Kurtosis0.5914276783
Mean4.909443182
Median Absolute Deviation (MAD)1
Skewness-1.151679662
Sum2300786
Variance2.085326728
MonotocityNot monotonic
2020-09-29T18:57:01.069967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622012040.1%
 
510051218.3%
 
46429211.7%
 
3332566.1%
 
2237044.3%
 
1193843.5%
 
752381.0%
 
821390.4%
 
(Missing)8084214.7%
 
ValueCountFrequency (%) 
1193843.5%
 
2237044.3%
 
3332566.1%
 
46429211.7%
 
510051218.3%
 
ValueCountFrequency (%) 
821390.4%
 
752381.0%
 
622012040.1%
 
510051218.3%
 
46429211.7%
 

QE_I62
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80845
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.035957085
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:01.258819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.496365838
Coefficient of variation (CV)0.2971363363
Kurtosis0.6742317191
Mean5.035957085
Median Absolute Deviation (MAD)1
Skewness-1.078436348
Sum2360061
Variance2.239110721
MonotocityNot monotonic
2020-09-29T18:57:01.465936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621341738.8%
 
59435817.2%
 
45966910.9%
 
3300105.5%
 
7245804.5%
 
2211393.8%
 
1198613.6%
 
856081.0%
 
(Missing)8084514.7%
 
ValueCountFrequency (%) 
1198613.6%
 
2211393.8%
 
3300105.5%
 
45966910.9%
 
59435817.2%
 
ValueCountFrequency (%) 
856081.0%
 
7245804.5%
 
621341738.8%
 
59435817.2%
 
45966910.9%
 

QE_I63
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80843
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.068711005
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:01.697717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.489725093
Coefficient of variation (CV)0.2939061019
Kurtosis0.693082189
Mean5.068711005
Median Absolute Deviation (MAD)1
Skewness-1.054840641
Sum2375421
Variance2.219280853
MonotocityNot monotonic
2020-09-29T18:57:01.898212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621055538.3%
 
59408917.1%
 
46010210.9%
 
3296295.4%
 
7287875.2%
 
2207353.8%
 
1183723.3%
 
863751.2%
 
(Missing)8084314.7%
 
ValueCountFrequency (%) 
1183723.3%
 
2207353.8%
 
3296295.4%
 
46010210.9%
 
59408917.1%
 
ValueCountFrequency (%) 
863751.2%
 
7287875.2%
 
621055538.3%
 
59408917.1%
 
46010210.9%
 

QE_I64
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80844
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.046982458
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:02.245918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.39494225
Coefficient of variation (CV)0.276391341
Kurtosis1.028959681
Mean5.046982458
Median Absolute Deviation (MAD)1
Skewness-1.177355544
Sum2365233
Variance1.94586388
MonotocityNot monotonic
2020-09-29T18:57:02.430909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623396742.6%
 
59966118.1%
 
45924510.8%
 
3291895.3%
 
2208413.8%
 
1149732.7%
 
865551.2%
 
742120.8%
 
(Missing)8084414.7%
 
ValueCountFrequency (%) 
1149732.7%
 
2208413.8%
 
3291895.3%
 
45924510.8%
 
59966118.1%
 
ValueCountFrequency (%) 
865551.2%
 
742120.8%
 
623396742.6%
 
59966118.1%
 
45924510.8%
 

QE_I65
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80842
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.064534989
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:02.663267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.671567652
Coefficient of variation (CV)0.3300535302
Kurtosis0.4713842788
Mean5.064534989
Median Absolute Deviation (MAD)1
Skewness-0.9284258131
Sum2373469
Variance2.794138416
MonotocityNot monotonic
2020-09-29T18:57:02.847225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622190340.4%
 
58237015.0%
 
4513589.3%
 
1298635.4%
 
3262924.8%
 
8242924.4%
 
2212553.9%
 
7113122.1%
 
(Missing)8084214.7%
 
ValueCountFrequency (%) 
1298635.4%
 
2212553.9%
 
3262924.8%
 
4513589.3%
 
58237015.0%
 
ValueCountFrequency (%) 
8242924.4%
 
7113122.1%
 
622190340.4%
 
58237015.0%
 
4513589.3%
 

QE_I66
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80843
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean5.228572221
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:03.047464image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.220725922
Coefficient of variation (CV)0.2334721355
Kurtosis1.832991396
Mean5.228572221
Median Absolute Deviation (MAD)0
Skewness-1.262900402
Sum2450339
Variance1.490171777
MonotocityNot monotonic
2020-09-29T18:57:03.230305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
624667944.9%
 
510484419.1%
 
45892010.7%
 
3237204.3%
 
2126612.3%
 
781071.5%
 
175101.4%
 
862031.1%
 
(Missing)8084314.7%
 
ValueCountFrequency (%) 
175101.4%
 
2126612.3%
 
3237204.3%
 
45892010.7%
 
510484419.1%
 
ValueCountFrequency (%) 
862031.1%
 
781071.5%
 
624667944.9%
 
510484419.1%
 
45892010.7%
 

QE_I67
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80844
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.817731194
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:03.432747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.683360335
Coefficient of variation (CV)0.3494093521
Kurtosis-0.09311647273
Mean4.817731194
Median Absolute Deviation (MAD)1
Skewness-0.7746119169
Sum2257796
Variance2.833702017
MonotocityNot monotonic
2020-09-29T18:57:03.664064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619376435.3%
 
58456615.4%
 
46517211.9%
 
3363256.6%
 
1311035.7%
 
2290905.3%
 
7155482.8%
 
8130752.4%
 
(Missing)8084414.7%
 
ValueCountFrequency (%) 
1311035.7%
 
2290905.3%
 
3363256.6%
 
46517211.9%
 
58456615.4%
 
ValueCountFrequency (%) 
8130752.4%
 
7155482.8%
 
619376435.3%
 
58456615.4%
 
46517211.9%
 

QE_I68
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing80843
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4.976203686
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.2 MiB
2020-09-29T18:57:03.871054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.478399487
Coefficient of variation (CV)0.2970938452
Kurtosis0.6667727266
Mean4.976203686
Median Absolute Deviation (MAD)0
Skewness-1.19068387
Sum2332068
Variance2.185665045
MonotocityNot monotonic
2020-09-29T18:57:04.071620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
623557142.9%
 
58839716.1%
 
45741610.4%
 
3308975.6%
 
2240914.4%
 
1205003.7%
 
785561.6%
 
832160.6%
 
(Missing)8084314.7%
 
ValueCountFrequency (%) 
1205003.7%
 
2240914.4%
 
3308975.6%
 
45741610.4%
 
58839716.1%
 
ValueCountFrequency (%) 
832160.6%
 
785561.6%
 
623557142.9%
 
58839716.1%
 
45741610.4%